The contemporary moment is defined by the appearance of artificial systems that mimic intelligent behaviours with uncanny skill: bots that you can converse with, machines that can act as pets, and even the algorithms that recommend ads to you. At times they appear as strange beings; alive. To make sense of this phenomenon, we are forced to reconsider our notion of the living state beyond what we are familiar with on Earth. 

Calian is an infinitely zoomable and scrollable exploration of lifelike behaviour. It exhibits ambiguous natural-digital forms in a dynamic rendering. Species grow and compete; they get carried by the elements; they face boom, bust, and echo. 

What makes something alive? To go beyond recognition of terrestrial biology we need to delineate general principles and apply them to new intelligent systems. Calian uses the fruits of my research into the origin of life to create persistent, complex systems that we can experience and study (*). We can identify properties of living matter but these fall short of a satisfactory and succinct criterion. When does agency begin? Or identity? Calian asks you to ponder this as you wander through its ecosystems. 

Feel free to explore but be careful: although life is pervasive, living things are delicate. Your interactions affect the ecosystem, obliquely. 

Calian continues a thread of my work probing deep scientific questions with artistic means. It furthermore connects to my previous Artblocks projects Mazinaw and Glass through the theme of ambiguity: while Mazinaw suggested the hand of an unknown creator, and Glass visualized the intrinsic ambiguity of our quantum mechanical universe, Calian's amorphous forms bear characteristics both of familiar organic matter and digital technology. 

Interactive features allow you to explore each ecosystem, infinitely, both in depth and in scope. As you wander, the shader repopulates the world from its initial condition, while the physical laws governing the dynamics themselves evolve.

See Display Notes for Controls.

(*) For more on Calian's dynamics and its grounding in my research, see the Calian page on my website.

Calian

*Please Note: This is an Exponential Dutch Auction (no settlement). The price you purchase is the price you will pay.*

An ideal human being is one big optimization problem. We have a goal - we optimize our actions to maximize the outcome of this goal. 
In our initial days, we optimize to stay alive, during school, we optimize to study well, gain skills and obtain the best scores.

As we progress in our careers we optimize to get the most amount of money, material growth, and maybe even influential growth such as fame.

As we age we optimize to minimize diseases and maximize our lifespan - we workout, we eat healthily, we retire, and rest 

As ideal as it sounds, how do we know what exact actions would lead to maximizing my outcome? At this very moment - instead of reading this should you be doing something else that would make your life’s outcome better? Maybe, maybe not - We don't know... Although, we do find out through trial and error. 

In the grand scheme of things we’re just an agent exploring actions around us, learning which ones increase our reward and choosing the path that seems to lead to the maximum reward. Cerebellum is a window (pun intended) of the human mind - a continuously evolving art piece that is built on top of a reinforcement learning agent that is learning and optimizing and evolving as you see it. 

The project starts with an untrained model of a reinforcement learning agent that is deployed in an environment where it is faced with positive reward and negative reward. The agent is also equipped with a bunch of eyes that lets it sense the objects around it and judge if it wants to go ahead and consume the object or abstain and move in a different direction. The agent here is optimization to maximize its positive rewards while avoiding the negative ones. How does the agent know if a reward is positive or negative? - It learns that after experiencing a bunch of samples. And the magic is - all of this happens in your browser. The seemingly random motion of the agent at the beginning running into everything it sees subsides with time as it learns better about the environment and only hits on the positive rewards. How fast does this happen? Depends on your luck - every art has agents with varied number of eyes and range of these eyes. In addition with every refresh your agent would start from a new place, taking a new path - a path that might lead to it learning things at a different pace depending on what it comes across as it explores. To add some practicality - the environment also has some walls, elements that just block the agent from moving doesn’t add or decrease rewards. Hinders the agent’s movement, lets it find a different path - sometimes this is needed for the agent to strategize, sometimes it's just a hindrance… I’ll leave this to your imagination as you see the agent in action…
The seemingly random motion - the path towards true understanding - the process of optimisation is captured by the windows. Windows that show the beauty of this process expressed in a variety of ways. 

Cerebellum is a window into the black box of AI, an unapologetic exaltation of the unpolished, an ode to the process and its aesthetic vernacular.

+ Press 'p' to switch from 2d/3d views
+ Press 'e' to expose the reinforced learning layer
+ Press 't' to pause/unpause the training of the agent
+ Press 'w' to randomize the walls of the training environment

On mobile, tap to switch from 2d to 3d

Cerebellum

Simple and easily identifiable, each squiggle embodies the soul of the Art Blocks platform. Consider each my personal signature as an artist, developer, and tinkerer. Public minting of the Chromie Squiggle is permanently paused. They are now reserved for manual distribution to collectors and community members over a longer period of time. Please visit OpenSea to explore Squiggles available on the secondary market. 

Chromie Squiggle

These cute companions live 100% on-chain where their bytes are cleverly stored in a scalable vector format. Built with quality components and complex algorithms, each Algobot is issued with a unique serial number and a NIFTY license which permits them to help out on any commercial projects where you might require their assistance.

Algobots

LoVid’s signature video work mixes handmade analog synthesizers with digital tools in immersive Red, Green, and Blue (RGB) compositions that celebrate luminosity, chaos, relationships between craft and engineering, and connections between body and tech.
 
Tide Predictor, LoVid’s first onchain generative work, builds a bridge from video synthesizer patches to algorithmic code-derived imagery. This collection is formally and technically inspired by hardware-based image generation, and places experimental moving-image, circuit boards, and electrical signal-based video art at the conceptual roots of generative art.

Tide Predictor is a modular video synthesizer patch model, designed to reflect the analog spirit by working with three channels: RGB. Tide Predictor reimagines NTSC-encoded, oscillator driven electrical current based video synthesis while adding digital randomness/unpredictability, and transformations based on code, along with each mint’s unique content.
 
In the late 19th century, mechanical analog computers used rhythm and repetition to anticipate the rise and fall of water levels. In addition to “tides”, which are low frequency oscillations of the ocean, higher frequency changes or “waves” are frequently discussed in reference to both water and electrical signals. By working with looping - and explicitly addressing the period (=1/frequency) for each RGB color - Tide Predictor extends analogies between the flow of water and the flow of electricity.

LoVid’s Tide Predictor brings these relationships from the blockchain, through your screen, straight to your retina!

Art Blocks Curated

Tide Predictor #127

LoVid

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